44 citations · 71 across the 7 of their papers we have counts for
9 papers
Generative AI Models: Opportunities and Risks for Industry and Authorities
Tobias Alt, Andrea Ibisch, Clemens Meiser +15
Generative AI models are capable of performing a wide variety of tasks that have traditionally required creativity and human understanding. During training, they learn patterns fro…
Alternatives to the EM Algorithm for ML-Estimation of Location, Scatter Matrix and Degree of Freedom of the Student- Distribution
Marzieh Hasannasab, Johannes Hertrich, Friederike Laus +1
In this paper, we consider maximum likelihood estimations of the degree of freedom parameter , the location parameter and the scatter matrix of the multivariate Student-…
Recent Advances in Denoising of Manifold-Valued Images
Ronny Bergmann, Friederike Laus, Johannes Persch +1
Modern signal and image acquisition systems are able to capture data that is no longer real-valued, but may take values on a manifold. However, whenever measurements are taken, no…
Multivariate Myriad Filters based on Parameter Estimation of Student- Distributions
Friederike Laus, Gabriele Steidl
The contribution of this study is twofold: First, we propose an efficient algorithm for the computation of the (weighted) maximum likelihood estimators for the parameters of the mu…
Nonlocal Myriad Filters for Cauchy Noise Removal
Friederike Laus, Fabien Pierre, Gabriele Steidl
The contribution of this paper is two-fold. First, we introduce a generalized myriad filter, which is a method to compute the joint maximum likelihood estimator of the location and…
A Nonlocal Denoising Algorithm for Manifold-Valued Images Using Second Order Statistics
Friederike Laus, Mila Nikolova, Johannes Persch +1
Nonlocal patch-based methods, in particular the Bayes' approach of Lebrun, Buades and Morel (2013), are considered as state-of-the-art methods for denoising (color) images corrupte…
Transport between RGB Images Motivated by Dynamic Optimal Transport
Jan Henrik Fitschen, Friederike Laus, Gabriele Steidl
We propose two models for the interpolation between RGB images based on the dynamic optimal transport model of Benamou and Brenier [8]. While the application of dynamic optimal tra…
Dynamic Optimal Transport with Mixed Boundary Condition for Color Image Processing
Jan Henrik Fitschen, Friederike Laus, Gabriele Steidl
Recently, Papadakis et al. proposed an efficient primal-dual algorithm for solving the dynamic optimal transport problem with quadratic ground cost and measures having densities wi…
Second Order Differences of Cyclic Data and Applications in Variational Denoising
Ronny Bergmann, Gabriele Steidl, Friederike Laus +1
In many image and signal processing applications, as interferometric synthetic aperture radar (SAR), electroencephalogram (EEG) data analysis or color image restoration in HSV or L…